SKILLEMALL.ai

BF sn-infographic

Generates professional infographics with various layout types and visual styles. Analyzes content, recommends layout and style, and generates publication-ready infographics. Use when user asks to create "infographic", "信息图", "visual summary", or "可视化".

ClawHub Agent Skills author: SenseNova-Skills v2026.9.11 MIT-0 80 files body ≈ 8 075 tokens Open the sourceclawhub.ai analyzed 2 d ago

Generates professional infographics with various layout types and visual styles.

As a process F 57/100 · Will not run — References files that are not bundled: references/runtime-parameters.md, references/*, scripts/sn_agent_runner.py

GeneratorAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
89/100
safety, quality, tests
Safety 60%
100
Quality 40%
73
Run on models
none yet
Process rating
F
57/100
Will not run
References files that are not bundled: references/runtime-parameters.md, references/*, scripts/sn_agent_runner.py
Tools and files w 18
0
When it triggers w 12
20
Running it twice w 4
30
the three weakest of ten parameters · all ten

How to improve

  1. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
  2. The text references files that are not there: add them or drop the references.
For the model run — optional
  • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
  • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

Guard findings · 0

✓ No critical or high findings

Files scanned: 80. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning body-long SKILL.md body ≈ 8075 tokens (recommended < 5000); move details to references/
  • warning missing-ref reference to a missing file: references/runtime-parameters.md
  • warning missing-ref reference to a missing file: references/*
  • warning missing-ref reference to a missing file: scripts/sn_agent_runner.py
  • warning missing-ref reference to a missing file: references/styles/
  • warning missing-ref reference to a missing file: references/prompts-expand-system.md
  • warning missing-ref reference to a missing file: references/prompts-critic-system.md
  • warning missing-ref reference to a missing file: references/structured-content-template.md
  • warning missing-ref reference to a missing file: references/layouts/<layout>.md
  • warning missing-ref reference to a missing file: references/styles/<style>.md
  • note frontmatter-key unknown frontmatter key "triggers"

Process rating: all ten parameters 57/100

Will not run. References files that are not bundled: references/runtime-parameters.md, references/*, scripts/sn_agent_runner.py
  • 0Tools and files. 9 referenced file(s) missing: references/runtime-parameters.md, references/*, scripts/sn_agent_runner.py
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 11 mutating operations with no state check
  • 40Execution cost. Instruction body is 8075 tokens: crowds the task out of the window
  • 60Result and completion. Output format stated, no completion criterion
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100Steps. 30 steps
  • 100Failures and branches. 1 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Progress reporting. Reports progress
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low The response is described with custom markup (17 tags): a typed call is more reliable

Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

Quality signals

  • +4Description does not say when NOT to use the skill (false activations)
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 2 example trigger phrases
  • +3Description length 252: enough signal without eating the budget
  • +4Structure: 12 headings
  • +3Step-by-step instructions: 30 items
  • +3Output format is stated explicitly
  • +4Has examples (21 code blocks)
  • +4Reference files are cited in the instructions (4 of 4)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 73.

External checks

ClawHub: suspicious
The skill is a coherent infographic generator, but it needs review because broad triggers can send user content to model services and it stores intermediate files in a predictable temporary path.
LLM: suspicious (medium) · 11 Sept 2026